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Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility Journal article
Chen, Zhi Wei, Ruan, Xu Zhi, Liu, Kui Ming, Yan, Wang Ji, Liu, Jian Tao, Ye, Dai Cheng. Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility[J]. Advances in Structural Engineering, 2022, 25(13), 2722-2737.
Authors:  Chen, Zhi Wei;  Ruan, Xu Zhi;  Liu, Kui Ming;  Yan, Wang Ji;  Liu, Jian Tao; et al.
Favorite | TC[WOS]:11 TC[Scopus]:11  IF:2.1/2.4 | Submit date：2022/08/05
Optical Flow  Automated Peak Picking  Computer Vision  Deep Learning  Vibration Measurement  
WaVPeak: picking NMR peaks through wavelet transform and volume-based filtering Journal article
Liu, Z., Abbas, A., Jing, B.Y., Gao, X.. WaVPeak: picking NMR peaks through wavelet transform and volume-based filtering[J]. Bioinformatics, 2012, 914-920.
Authors:  Liu, Z.;  Abbas, A.;  Jing, B.Y.;  Gao, X.
Favorite |   IF:4.4/7.6 | Submit date：2022/07/27
NMR data  Peak picking  Volume-based filtering